Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis

Abstract Acute pancreatitis (AP) is a common systemic inflammatory disease resulting from the activation of trypsinogen by various incentives in ICU. The annual incidence rate is approximately 30 out of 100,000. Some patients may progress to severe acute pancreatitis, with a mortality rate of up to...

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Main Authors: Zhonghua Lu (Author), Yan Tang (Author), Ruxue Qin (Author), Ziyu Han (Author), Hu Chen (Author), Lijun Cao (Author), Pinjie Zhang (Author), Xiang Yang (Author), Weili Yu (Author), Na Cheng (Author), Yun Sun (Author)
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Published: BMC, 2024-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Zhonghua Lu  |e author 
700 1 0 |a Yan Tang  |e author 
700 1 0 |a Ruxue Qin  |e author 
700 1 0 |a Ziyu Han  |e author 
700 1 0 |a Hu Chen  |e author 
700 1 0 |a Lijun Cao  |e author 
700 1 0 |a Pinjie Zhang  |e author 
700 1 0 |a Xiang Yang  |e author 
700 1 0 |a Weili Yu  |e author 
700 1 0 |a Na Cheng  |e author 
700 1 0 |a Yun Sun  |e author 
245 0 0 |a Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis 
260 |b BMC,   |c 2024-04-01T00:00:00Z. 
500 |a 10.1186/s12920-024-01854-2 
500 |a 1755-8794 
520 |a Abstract Acute pancreatitis (AP) is a common systemic inflammatory disease resulting from the activation of trypsinogen by various incentives in ICU. The annual incidence rate is approximately 30 out of 100,000. Some patients may progress to severe acute pancreatitis, with a mortality rate of up to 40%. Therefore, the goal of this article is to explore the key genes for effective diagnosis and treatment of AP. The analysis data for this study were merged from two GEO datasets. 1357 DEGs were used for functional enrichment and cMAP analysis, aiming to reveal the pathogenic genes and potential mechanisms of AP, as well as potential drugs for treating AP. Importantly, the study used LASSO and SVM-RFE machine learning to screen the most likely AP occurrence biomarker for Prdx4 among numerous candidate genes. A receiver operating characteristic of Prdx4 was used to estimate the incidence of AP. The ssGSEA algorithm was employed to investigate immune cell infiltration in AP. The biomarker Prdx4 gene exhibited significant associations with a majority of immune cells and was identified as being expressed in NKT cells, macrophages, granulocytes, and B cells based on single-cell transcriptome data. Finally, we found an increase in Prdx4 expression in the pancreatic tissue of AP mice through immunohistochemistry. After treatment with recombinant Prdx4, the pathological damage to the pancreatic tissue of AP mice was relieved. In conclusion, our study identified Prdx4 as a potential AP hub gene, providing a new target for treatment. 
546 |a EN 
690 |a Acute pancreatitis (AP) 
690 |a Immune cell infiltration 
690 |a Diagnostic value 
690 |a Bioinformatics analysis 
690 |a Machine learning 
690 |a Internal medicine 
690 |a RC31-1245 
690 |a Genetics 
690 |a QH426-470 
655 7 |a article  |2 local 
786 0 |n BMC Medical Genomics, Vol 17, Iss 1, Pp 1-15 (2024) 
787 0 |n https://doi.org/10.1186/s12920-024-01854-2 
787 0 |n https://doaj.org/toc/1755-8794 
856 4 1 |u https://doaj.org/article/9a57ae17475b4edb8f77d1ce7af0568f  |z Connect to this object online.